Account Data Structure for Insurance Underwriting
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Solution Overview
Problem
Conventional account management systems lack a holistic approach, leading to poor customer data integrity, inadequate customer insights, primitive workflows, and a lack of standardization, which results in inefficient customer interactions and limited analytical capabilities, particularly in the insurance underwriting process.
Innovation Solution
An account management system with a relational data model that defines accounts and relates customers, products, and services, enabling efficient representation of complex relationships and business rules, allowing for task assignment and underwriting decisions based on established criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional account management systems are used, then system simplicity is maintained, but customer data integrity and analytical capabilities deteriorate
Solution Approach 1:
The system segments account management into multiple hierarchical levels: account level, participant level, and offering level. This segmentation allows data to be organized in a structured manner across different entities, improving data integrity while maintaining manageable system complexity through modular design.
Solution Approach 2:
The patent introduces a new dimensional structure by adding the account level as an intermediary dimension between customers and offerings. This creates a multi-dimensional data model where relationships are established through account involvement and offering involvement entities, enhancing data integrity without linearly increasing complexity.
2Productivity
If manual workflows are used, then ease of operation is maintained, but productivity and standardization deteriorate
Solution Approach 1:
The system enables self-service capabilities by allowing the account management system to automatically perform tasks such as generating tasks, assigning performers, and executing workflows based on predefined business rules. This automation improves productivity while the standardized interfaces maintain ease of operation.
Solution Approach 2:
The patent transforms workflows from manual to automated by changing the operational parameters - introducing task entities, performer assignments, and automated execution mechanisms. This parameter change enables standardized, repeatable processes that improve productivity without sacrificing operational simplicity through user-friendly interfaces.
3Loss of information
If isolated information systems are used, then system complexity is reduced, but customer insights and data organization deteriorate
Solution Approach 1:
The patent merges previously isolated information systems by introducing a unified account management system that consolidates customer data, offering data, and relationship data into a single integrated structure. This merging eliminates information silos and improves customer insights while the modular entity-based design prevents exponential complexity growth.
Solution Approach 2:
The account entity and offering entity serve multiple functions simultaneously - they store data, establish relationships, enable segmentation, and support various business processes. This multi-functionality reduces the need for separate specialized systems, improving information availability without proportionally increasing system complexity.
4Adaptability or versatility
If document-based information formats are used, then ease of manufacture is maintained, but adaptability and digitization potential deteriorate
Solution Approach 1:
The patent replaces document-based mechanical information storage with a digital data model consisting of entities, attributes, and relationships. This substitution enables automated processing, analysis, and manipulation of information while the standardized entity structure simplifies implementation through consistent data organization patterns.
Data Source
AI summary
An account management system has been developed that enables customer or client-related information to be stored, viewed and manipulated in a manner that reflects the relationship among different customers. The account management system includes an account data structure that defines accounts and relates customers to accounts so that the accounts include a group of related customers. In addition, a method of managing an underwriting account for an insurance policy has been developed. In particular, a method comprises the steps of establishing a plurality of participants; assigning each participant of the plurality of participants to an account; establishing business rules at an account level; and providing an underwriting decision for an account based upon the business rules.


